org.apache.flink.table.planner.plan.nodes.physical.batch.BatchPhysicalValues.scala Maven / Gradle / Ivy

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
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 * See the License for the specific language governing permissions and
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package org.apache.flink.table.planner.plan.nodes.physical.batch

import org.apache.flink.table.planner.calcite.FlinkTypeFactory
import org.apache.flink.table.planner.plan.nodes.exec.ExecNode
import org.apache.flink.table.planner.plan.nodes.exec.batch.BatchExecValues

import com.google.common.collect.ImmutableList
import org.apache.calcite.plan.{RelOptCluster, RelTraitSet}
import org.apache.calcite.rel.`type`.RelDataType
import org.apache.calcite.rel.core.Values
import org.apache.calcite.rel.{RelNode, RelWriter}
import org.apache.calcite.rex.RexLiteral

import java.util

import scala.collection.JavaConversions._

/**
  * Batch physical RelNode for [[Values]].
  */
class BatchPhysicalValues(
    cluster: RelOptCluster,
    traitSet: RelTraitSet,
    tuples: ImmutableList[ImmutableList[RexLiteral]],
    outputRowType: RelDataType)
  extends Values(cluster, outputRowType, tuples, traitSet)
  with BatchPhysicalRel {

  override def deriveRowType(): RelDataType = outputRowType

  override def copy(traitSet: RelTraitSet, inputs: util.List[RelNode]): RelNode = {
    new BatchPhysicalValues(cluster, traitSet, getTuples, outputRowType)
  }

  override def explainTerms(pw: RelWriter): RelWriter = {
    super.explainTerms(pw)
      .item("values", getRowType.getFieldNames.toList.mkString(", "))
  }

  override def translateToExecNode(): ExecNode[_] = {
    new BatchExecValues(
      tuples.asList().map(_.asList()),
      FlinkTypeFactory.toLogicalRowType(getRowType),
      getRelDetailedDescription
    )
  }
}